This article reexamines the long-run and short-run determinants of the aggregate residential demand for electricity in Greece using data spanning the period 1964-2006 and the recently advanced ARDL cointegrating procedure that has not been hitherto tried to Greek data. The results of the...

There is an expected increase in the demand for electricity from households in European countries. The outcome of the growing proportion of renewable energy sources in the energy supply mix should result in improved customer awareness regarding their electricity usage. Additionally, they must...

Using a unique set of data and exploiting a large-scale natural experiment, we estimate the effect of real-time usage information on residential electricity consumption in Northern Ireland. Starting in April 2002, the utility replaced prepayment meters with "smart" meters that allow the consumer...

This paper investigates the relationship between electricity demand and temperature in the European Union. We address this issue by means of a panel threshold regression model on 15 European countries over the last two decades. Our results confirm the non-linearity of the link between...

Economists and analysts of electricity demand sector believed for a long time that equipment is a key factor. They try to determine the performance of Equipment policy instrument on energy demand. For lack of reliable data, they use in most cases the variable “urbanization rate” as proxy to...

This study examines the cointegration and causality relationship between the demand for residential electricity and real income, average real electricity prices, real kerosene prices and real gas prices using annual data for the period, 1960-2007 in Sri Lanka. Error correction (EC) techniques...

The sharp increase in energy prices and growing concern on environmental issues, among other things, are behind the renewed interest in energy demand estimation. However, there is sparce academic literature that takes the real situation of energy suppliers into account: high quality but...

Electricity demand forecasting plays an important role in electricity systems expansion planning. In this paper, we present a trigonometric grey prediction approach by combining the traditional grey model GM(1,1) with the trigonometric residual modification technique for forecasting electricity...

Electricity is an important asset that influences not only the economy, but political or social security of a country. Reliable and accurate planning and prediction of electricity demand for a country are therefore vital. In this paper, electricity demand in Ontario province of Canada from the...